Applying Built-Up and Bare-Soil Indices from Landsat 8 to Cities in Dry Climates
Applying Built-Up and Bare-Soil Indices from Landsat 8 to Cities in Dry Climates
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DOI：
10.3390/land7030081
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发表时间：
2018-07
期刊：
影响因子：
3.9
通讯作者：
Azad Rasul;H. Balzter;G. F. Ibrahim;H. Hameed;J. Wheeler;B. Adamu;S. Ibrahim;Peshawa M. Najmaddin-Peshawa-M.-Naj
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作者：
Azad Rasul;H. Balzter;G. F. Ibrahim;H. Hameed;J. Wheeler;B. Adamu;S. Ibrahim;Peshawa M. Najmaddin-Peshawa-M.-Naj
干旱半干旱区的光谱特征与其他气候区不同。因此，需要为干旱和半干旱地区确定适当的土地利用和土地覆盖类型遥感指标，因为为其他气候区域开发的指数在干旱和半干旱地区可能无法给出可信的结果。例如，归一化差异建筑指数（NDBI）和归一化差异裸露指数（NDBaI）无法区分建成区和干旱气候下许多城市周围的裸露和干燥土壤。本文提出了两个新开发的指数，即干建筑指数（DBI）和干裸土指数（DBSI），用于从Landsat 8中绘制干旱气候下的建成区和裸地。将开发的DBI和DBSI应用于伊拉克埃尔比勒市的城区和裸地地图。结果表明，DBI和DBSI的总体分类准确率分别为93% （κ = 0.86）和92% （κ = 0.84）。结果表明，在干旱和半干旱气候条件下，所提出的指标能够很好地区分城市地区和裸土。
Arid and semi-arid regions have different spectral characteristics from other climatic regions. Therefore, appropriate remotely sensed indicators of land use and land cover types need to be defined for arid and semi-arid lands, as indices developed for other climatic regions may not give plausible results in arid and semi-arid regions. For instance, the normalized difference built-up index (NDBI) and normalized difference bareness index (NDBaI) are unable to distinguish between built-up areas and bare and dry soil that surrounds many cities in dry climates. This paper proposes the application of two newly developed indices, the dry built-up index (DBI) and dry bare-soil index (DBSI) to map built-up and bare areas in a dry climate from Landsat 8. The developed DBI and DBSI were applied to map urban areas and bare soil in the city of Erbil, Iraq. The results show an overall classification accuracy of 93% (κ = 0.86) and 92% (κ = 0.84) for DBI and DBSI, respectively. The results indicate the suitability of the proposed indices to discriminate between urban areas and bare soil in arid and semi-arid climates.